GPSRO Error Characterization: Analysis of RO measurement errors based on SAC-C radio occultation data recorded in open-loop and closed-loop mode. Martin S Lohmann. This presentation. CDAAC (COSMIC) processing overview Summary of error estimation techniques
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GPSRO Error Characterization: Analysis of RO measurement errors based on SAC-C radio occultation data recorded in open-loop and closed-loop mode.
Martin S Lohmann
Severe tracking errors are common in GPS-MET, CHAMP and SAC-C RO data particularly in the lower troposphere. Tracking errors require sophisticated QC procedures to remove
Occultation processed by CDAAC can be divided into two separate
regions where different data processing strategies are applied:
This region covers the height range from the top of the occultation to the lowest height for which the L2 signal is being tracked
The RH region extends from the lowest height to which the L2 signal can be tracked down to the lowest point in an occultation. Data are smoothed over approx. 100 m
Below the E-layer the magnitude and structure of the bending angle measurement errors are fairly uniform [Kursinski et al., 1997; Kuo et al., 2004] Consequently, the bending angle errors can be estimated from high altitude differences between a climatology and the observations
Errors in the climatology used for SO are estimated from differences between measurements and climatology in the lower part of the GO region
Measurement errors are estimated by mapping fluctuations in the FSI-amplitude to bending angle errors
In the lower troposphere where the RO signals are very noisy, an alternative technique is applied where small scale bending angle fluctuations are considered as errors
Title: JCSDA GPSRO assimilation
Purpose: GPSROerror characterization
Progress so far: